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KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 1 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
103
Voted
MOBIHOC
2003
ACM
16 years 5 days ago
Connected sensor cover: self-organization of sensor networks for efficient query execution
Spatial query execution is an essential functionality of a sensor network, where a query gathers sensor data within a specific geographic region. Redundancy within a sensor networ...
Himanshu Gupta, Samir R. Das, Quinyi Gu
93
Voted
MOBICOM
2009
ACM
15 years 7 months ago
Mobility increases the connectivity of K-hop clustered wireless networks
In this paper we investigate the connectivity for large-scale clustered wireless sensor and ad hoc networks. We study the effect of mobility on the critical transmission range fo...
Qingsi Wang, Xinbing Wang, Xiaojun Lin
IJCNN
2008
IEEE
15 years 7 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
124
Voted
ICASSP
2007
IEEE
15 years 7 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown